Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.

Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding...

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Autores principales:	Julia Carolina Mata, Robert Buitenwerf, Jens-Christian Svenning
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ae67760eb5004cd99d2306c311b0db5b
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id	oai:doaj.org-article:ae67760eb5004cd99d2306c311b0db5b
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spelling	oai:doaj.org-article:ae67760eb5004cd99d2306c311b0db5b2021-12-02T20:05:08ZEnhancing monitoring of rewilding progress through wildlife tracking and remote sensing.1932-620310.1371/journal.pone.0253148https://doaj.org/article/ae67760eb5004cd99d2306c311b0db5b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253148https://doaj.org/toc/1932-6203Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding projects is measured and monitored. However, a spatially explicit understanding of rewilding and rewilding potential in a rewilding site has been absent so far. We present a novel approach for monitoring rewilding progress that focuses on a spatially explicit estimate of progress and ecological integrity within rewilding initiatives. This framework uses habitat classification of the site and tracking data of the reintroduced animals, to model their habitat selection. Through this we measure and map realized and potential rewilding. We operationalize the framework in an ongoing rewilding project in the Iberá Wetlands, Corrientes, Argentina. The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. Of the four species in the rewilding project, only the giant anteater (Myrmecophaga tridactyla) filled the majority of its potential distribution, whereas pampas deer (Ozotoceros bezoarticus), collared peccary (Pecari tajacu) and lowland tapir (Tapirus terrestris) filled less than 23% of theirs. After rewilding we found a 10% increase in the proportion of the study area with high ecological integrity. Through this case study, we showed that this framework can be used to assess the spatial progress of a rewilding site. By incorporating wildlife tracking and satellite-based remote sensing, we are integrating a spatial component to monitoring of rewilding projects that should lead to more detailed understanding of the progress of rewilding. Applying this framework would facilitate decision-making for practitioners and inform species management plans.Julia Carolina MataRobert BuitenwerfJens-Christian SvenningPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0253148 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Julia Carolina Mata Robert Buitenwerf Jens-Christian Svenning Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
description	Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding projects is measured and monitored. However, a spatially explicit understanding of rewilding and rewilding potential in a rewilding site has been absent so far. We present a novel approach for monitoring rewilding progress that focuses on a spatially explicit estimate of progress and ecological integrity within rewilding initiatives. This framework uses habitat classification of the site and tracking data of the reintroduced animals, to model their habitat selection. Through this we measure and map realized and potential rewilding. We operationalize the framework in an ongoing rewilding project in the Iberá Wetlands, Corrientes, Argentina. The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. Of the four species in the rewilding project, only the giant anteater (Myrmecophaga tridactyla) filled the majority of its potential distribution, whereas pampas deer (Ozotoceros bezoarticus), collared peccary (Pecari tajacu) and lowland tapir (Tapirus terrestris) filled less than 23% of theirs. After rewilding we found a 10% increase in the proportion of the study area with high ecological integrity. Through this case study, we showed that this framework can be used to assess the spatial progress of a rewilding site. By incorporating wildlife tracking and satellite-based remote sensing, we are integrating a spatial component to monitoring of rewilding projects that should lead to more detailed understanding of the progress of rewilding. Applying this framework would facilitate decision-making for practitioners and inform species management plans.
format	article
author	Julia Carolina Mata Robert Buitenwerf Jens-Christian Svenning
author_facet	Julia Carolina Mata Robert Buitenwerf Jens-Christian Svenning
author_sort	Julia Carolina Mata
title	Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
title_short	Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
title_full	Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
title_fullStr	Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
title_full_unstemmed	Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
title_sort	enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/ae67760eb5004cd99d2306c311b0db5b
work_keys_str_mv	AT juliacarolinamata enhancingmonitoringofrewildingprogressthroughwildlifetrackingandremotesensing AT robertbuitenwerf enhancingmonitoringofrewildingprogressthroughwildlifetrackingandremotesensing AT jenschristiansvenning enhancingmonitoringofrewildingprogressthroughwildlifetrackingandremotesensing
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Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.

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